Learning to rank
id:
learning-to-rank-182-10212659
title:
Learning to rank
text:
Learning to rank or machine-learned ranking (MLR) is the application of machine learning, typically supervised, semi-supervised or reinforcement learning, in the construction of ranking models for information retrieval systems. Training data may, for example, consist of lists of items with some partial order specified between items in each list. This order is typically induced by giving a numerical or ordinal score or a binary judgment for each item. The goal of constructing the ranking model is
brand slug:
wiki
category slug:
encyclopedia
description:
Use of machine learning to rank items
original url:
https://en.wikipedia.org/wiki/Learning_to_rank
date created:
2009-11-11T22:35:03Z
date modified:
2024-09-06T22:38:55Z
main entity:
{"identifier":"Q4330127","url":"https://www.wikidata.org/entity/Q4330127"}
image:
fields total:
13
integrity:
15